论文标题

IOV方案:在无线网络通信模式下实现带宽意识算法

IoV Scenario: Implementation of a Bandwidth Aware Algorithm in Wireless Network Communication Mode

论文作者

Zhang, Peiying, Wang, Chao, Aujla, Gagangeet Singh, Kumar, Neeraj, Guizani, Mohsen

论文摘要

由车辆互联网(IOV)代表的无线网络通信模式已被广泛使用。但是,由于传统网络体系结构的局限性,无线网络环境中的资源调度仍然面临着巨大的挑战。本文着重于虚拟网络环境中带宽资源的分配。本文提出了带宽意识到的多域虚拟网络嵌入算法(BA-VNE)。该算法主要是针对用户在无线通信模式下需要大量带宽的问题,并从虚拟网络嵌入(VNE)的角度解决了带宽资源分配的问题。为了提高算法的性能,我们引入了粒子群优化(PSO)算法以优化算法的性能。为了验证算法的有效性,我们从链路带宽,映射成本和虚拟网络请求(VNR)接受率进行了仿真实验。最终结果表明,在上述指标中,提出的算法比其他代表性算法更好。

The wireless network communication mode represented by the Internet of vehicles (IoV) has been widely used. However, due to the limitations of traditional network architecture, resource scheduling in wireless network environment is still facing great challenges. This paper focuses on the allocation of bandwidth resources in the virtual network environment. This paper proposes a bandwidth aware multi domain virtual network embedding algorithm (BA-VNE). The algorithm is mainly aimed at the problem that users need a lot of bandwidth in wireless communication mode, and solves the problem of bandwidth resource allocation from the perspective of virtual network embedding (VNE). In order to improve the performance of the algorithm, we introduce particle swarm optimization (PSO) algorithm to optimize the performance of the algorithm. In order to verify the effectiveness of the algorithm, we have carried out simulation experiments from link bandwidth, mapping cost and virtual network request (VNR) acceptance rate. The final results show that the proposed algorithm is better than other representative algorithms in the above indicators.

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